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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLC 2021-02-18
16:05
Online Online Sarcasm Detection with Japanese Wikipedia Entity Vector
Xu Xufei, Hiai Satoshi, Shimada Kazutaka (KIT) NLC2020-27
In recent years, the task of detecting sarcasm has been tackled in many studies. Sarcasm detection is important for unde... [more] NLC2020-27
pp.25-30
NLC, IPSJ-DC 2018-09-06
10:35
Tokyo Seikei University Target Detection for Sarcasm Identification
Satoshi Hiai, Kazutaka Shimada (Kyutech) NLC2018-10
Sarcasm identification has been treated as a task that classifies text as sarcastic or non-sarcastic. Sarcasm identifica... [more] NLC2018-10
pp.7-11
DE 2016-06-18
13:10
Tokyo Rakuten Crimson House An Evaluation of Feature Term Extraction Method based on Polarity Analysis from Customer Reviews
Tomofumi Yoshida, Daisuke Kitayama (Kogakuin Univ.) DE2016-5
Our paper proposes a method, based on content-based recommendation, for extracting feature terms that can express produc... [more] DE2016-5
pp.19-24
ASN 2016-05-12
10:50
Tokyo   [Encouragement Talk] A Novel Approach for Multi-Class Sentiment Analysis in Twitter
Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) ASN2016-3
Many works were conducted on the automatic sentiment analysis and opinion mining. However, most of these works were orie... [more] ASN2016-3
pp.13-18
MICT, ASN, MoNA
(Joint)
2016-01-29
09:50
Kanagawa Hotel Okada Multi-Class Sentiment Analysis in Twitter: a Pattern-Based Approach
Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) ASN2015-89
Many works were conducted on the automatic sentiment analysis and opinion mining. However, most of these works were orie... [more] ASN2015-89
pp.57-62
LOIS, IPSJ-CN, IPSJ-SPT 2015-05-14
15:30
Tokyo Tsuda College, Kodaira Campus Opinion Target Extraction for TV Viewers' Spontaneous Messages based on Sentiment Terms in Past Tense
Nanae Kinoshita (Recruit Staffing), Takeshi Kobayakawa, Atsushi Matsui (NHK) LOIS2015-2
In recent years, spontaneous messages at social networking service (SNS), e.g. Twitter, often reflect individual opinion... [more] LOIS2015-2
pp.29-34
NLC 2013-09-12
15:00
Tokyo National Olympics Memorial Youth Center A proposal of a recommendation method of reviews describing characteristic minority opinions
Hiroaki Shirahama, Masaomi Kimura (Shibaura Inst. of Tech.) NLC2013-19
Recently, many online shops offer their service with the product reviews. Those shops allow customers to comment or rate... [more] NLC2013-19
pp.27-32
LOIS 2013-03-07
16:40
Okinawa   What Does the Chirping Tell Us? Summarizing People's Opinion on Ongoing Events Using Tweets
Khan Muhammad Asif Hossain, Guangwen Liu, Masayuki Iwai, Kaoru Sezaki (Univ. of Tokyo) LOIS2012-87
The growth and increasing spatial resolution of Twitter has made it a promising network for assessing people’s opinion r... [more] LOIS2012-87
pp.107-112
PRMU, DE 2005-06-17
16:30
Hokkaido Hokkaido Univ. Impression Mining from Text and Its Application to Web Retrieval
Tadahiko Kumamoto (NICT), Katsumi Tanaka (NICT/Kyoto Univ.)
We have been developing a novel Web-based question answering system that collects people's opinions about a user's quest... [more] DE2005-28 PRMU2005-49
pp.87-92
 Results 1 - 9 of 9  /   
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